In silico structure-based discovery of a SARS-CoV-2 main protease inhibitor

基于计算机结构发现 SARS-CoV-2 主要蛋白酶抑制剂

阅读:6
作者:Lei Wen, Kaiming Tang, Kenn Ka-Heng Chik, Chris Chun-Yiu Chan, Jessica Oi-Ling Tsang, Ronghui Liang, Jianli Cao, Yaoqiang Huang, Cuiting Luo, Jian-Piao Cai, Zi-Wei Ye, Feifei Yin, Hin Chu, Dong-Yan Jin, Kwok-Yung Yuen, Shuofeng Yuan, Jasper Fuk-Woo Chan

Abstract

The Coronavirus Disease 2019 (COVID-19) pandemic caused by the novel lineage B betacoroanvirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant mortality, morbidity, and socioeconomic disruptions worldwide. Effective antivirals are urgently needed for COVID-19. The main protease (Mpro) of SARS-CoV-2 is an attractive antiviral target because of its essential role in the cleavage of the viral polypeptide. In this study, we performed an in silico structure-based screening of a large chemical library to identify potential SARS-CoV-2 Mpro inhibitors. Among 8,820 compounds in the library, our screening identified trichostatin A, a histone deacetylase inhibitor and an antifungal compound, as an inhibitor of SARS-CoV-2 Mpro activity and replication. The half maximal effective concentration of trichostatin A against SARS-CoV-2 replication was 1.5 to 2.7µM, which was markedly below its 50% effective cytotoxic concentration (75.7µM) and peak serum concentration (132µM). Further drug compound optimization to develop more stable analogues with longer half-lives should be performed. This structure-based drug discovery platform should facilitate the identification of additional enzyme inhibitors of SARS-CoV-2.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。